Draft Standard Investigation Report

Welcome to the Open Contracting Data Spike

The objective was to spend 5 days exploring the feasibility of
developing a common standard for open contracting data and scoping the
opportunities and challenges.

This work was "supply-side" only, meaning that it looked at a number of
available data sets to examine the problem rather than looking at the
"demand-side" - what information do stakeholders want.

In addition to examining feasibility, opportunities and challenges, a
draft standard was produced in order to provide something on paper for
people to engage with - the draft included here is in no way an
accepted or agreed standard, mearly a talking point.

The Guinea data was not used in the mapping as it was too disparate to
facilitate the process that we were trying to do. However, bringing in
extractive industry and other such disparate data will be an important
part of future work. The US data was only partially looked at,
specifically to look at the transaction data available.

Draft Standard

Based on the very preliminary investigation, the following draft
standard was created, intended only as a starting point for
discussion.

Visualised Structure

This structure can be organized into blocks of data that allow us to visualize the different data points that
different data sets contain. Hovering over a square will show a key that can be referenced in the standard above.

Coverage

Summary

We took all the datasets and overlayed which data set had which data points to build a map of the data coverage.
The darker the blue, the more datasets had that particular data point. This shows us that Organization, Meta, Bid,
and Award information is more commonly available in the datsets we examined than performance and termination data.

Detail

Here we look at which fields each dataset contains.

The blue squares are where a proposed field is already available in the existing data,

the orange squares are those fields that are available in the dataset, but are not used in the proposed standard,

and the gray squares are where the standard data point is not available in the data set.